code: def test_other_feature(kiss_dataset_and_model):
      train, _, clf = kiss_dataset_and_model
      # Arrange
      check = ColumnsInfo()
      # Act
      result_value = check.run(train, clf).value
      # Assert
      assert_that(
          result_value,
          equal_to(
              {
                  "binary_feature": "categorical feature",
                  "string_feature": "other feature",
                  "numeric_feature": "numerical feature",
                  "none_column": "numerical feature",
                  "numeric_label": "label",
              }
          ),
      )
  
file_path: deepchecks/tests/tabular/checks/integrity/columns_info_test.py
imports: import numpy
  import pandas
  from hamcrest import assert_that, calling, equal_to, has_length, raises
  from deepchecks.core.errors import DeepchecksValueError
  from deepchecks.tabular.checks.data_integrity import ColumnsInfo
  from deepchecks.tabular.dataset import Dataset
label_desc: Use image node_id 4 for calling a global function with example usage: test_other_feature(kiss_dataset_and_model) without return types